lanmar's Stars
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
jupyter/jupyter
Jupyter metapackage for installation, docs and chat
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
ujjwalkarn/DataSciencePython
common data analysis and machine learning tasks using python
jonathan-bower/DataScienceResources
Open Source Data Science Resources.
gpeyre/numerical-tours
Numerical Tours of Signal Processing
leonvanbokhorst/NoteBooks-Statistics-and-MachineLearning
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
moldach/project-directory
Setting up a new project directory in the terminal or R
nschaetti/pyTweetBot
A Twitter bot written in Python to replace yourself, search and publish news about specific subjects on Twitter. PyTweetBot use Machine Learning to filter interesting articles and web pages found on the web.
LabeliaLabs/referentiel-evaluation-dsrc
Référentiel d'évaluation data science responsable et de confiance
pmservice/ai-openscale-tutorials
Watson OpenScale tutorials including sample models, notebooks and applications
levvers/dsemr
Additional Material for the MOOC on Data Science for Environmental Modelling and Renewables
Jwink3101/matplotlib_tips_examples
Matplotlib tips and examples
Aminbhs/google_sheet
CamilleMariniSonos/python-master-dauphine
Cours d'introduction à Python pour le machine learning pour le Executive Master Statistique et Big Data de Dauphine- 2017-2018
scauglog/prez
oscarfmdc/DataAnalysis
Data analysis with R